Online Program Home
My Program

Abstract Details

Activity Number: 338 - BIOP Student Paper Awards
Type: Topic Contributed
Date/Time: Tuesday, July 31, 2018 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract #329557 Presentation
Title: AAA: Triple-Adaptive Bayesian Designs for the Identification of Optimal Dose Combinations in Dual-Agent Dose-Finding Trials
Author(s): Jiaying Lyu* and Yuan Ji
Companies: University of Chicago; Fudan University and NorthShore Univ. HealthSystem / The University of Chicago
Keywords: Adaptive cohort division; Bayesian inference; Dose combination; Hierarchical models; Markov chain Monte Carlo simulation; Phase I/II clinical trial

We propose a flexible design for the identification of optimal dose combinations in dual-agent dose-finding clinical trials. The design is called AAA, standing for three adaptations: adaptive model selection, adaptive dose insertion, and adaptive cohort division. The adaptations highlight the need and opportunity for innovation for dual-agent dose finding and are supported by the numerical results presented in the proposed simulation studies. To our knowledge, this is the first design that allows for all three adaptations at the same time. We find that AAA enhances the chance of finding the optimal dose combinations and shortens the trial duration. A clinical trial is being planned to apply the AAA design and a web tool is being developed for both statisticians and non-statisticians.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2018 program